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Context. The initial great promise of 3D geometric modeling and processing was to achieve for shapes what had been done in digital signal processing for sound and images. Over the last twenty years
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Apply by sending an email directly to the supervisor Primary discipline: Machine Learning Secondary discipline: Neuroscience Project Summary This project proposes to explore how the brain and
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of particular interest. From a pure machine learning perspective, however, such development is far from being straightforward for several reasons: i) the data (either 2D images or point clouds obtained
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of the scientific publications • Motivation letter • Letter of recommendation of the thesis supervisor Description of the topic: Change-point detection (CPD) is a fundamental problem in statistics and machine
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relation to subjective data such as questionnaires) and allow the analysis, using machine learning approaches, of a surgical procedure to produce a risk assessment of intraoperative events and a performance
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R